Difference between AI, Machine Learning, and Deep Learning

Nowadays, many people have a misconception that the terms like Artificial Intelligence (AI), Machine Learning and Deep Learning, are the same. Whenever they hear the word AI, it immediately redirects to Machine Learning or Deep Learning. In this blog, you will see the difference and the meaning of Artificial Intelligence, Machine Learning, and Deep Learning.

Machine Learning

Machine Learning is an important part of Artificial Intelligence and it promotes systems with the capability to function autonomously. Machine Learning is reshaping the world by producing phenomenal results in various disciplines. Machine Learning helps humans from the clutches of repetitive and mundane tasks. FITA Academy provides the best Machine learning Course in Chennai since the classes are conducted by experienced Machine Learning professionals. Machine Learning is an evolving field and it’s much-demanded technology, so it ensured that you will have a flourishing career in this field. Machine Learning uses a huge amount of structured and semi-structured data for the machines to differentiate and use them accordingly as programmed to gain specific results based on the data provided to it.

Artificial Intelligence

Artificial Intelligence (AI) is the most cutting edge technology which makes a machine to react with human intelligence. Artificial Intelligence was founded in 1956 by John McCarthy.

Artificial Intelligence (AI) is completely different from Machine Learning and Deep Learning. Artificial Intelligence is the field of computer science that creates a computer system that can simulate human intelligence. The word Artificial Intelligence consists of two different worlds, “Artificial” and “Intelligence” which means a human-creates the thinking power. Artificial Intelligence Course in Chennaiat FITA is the right place to pave the way for a bright future in the competitive world.FITA Academy offers training under industry experts which helps to get placed in MNCs.

Deep Learning

Deep Learning is the subset of machine learning that is technically the same function but it has various capabilities. The difference between deep and machine learning is that the models become better but the model still needs guidance. Let us now see the major differences between AI and Machine Learning.

Difference between AI and Machine Learning

Artificial Intelligence

Machine Learning

AI is a technology, which allows the machine to mimic human behavior.

Machine Learning is a subset of AI which enables the machine to automatically learn from the previous data without the programming explicitly.

The goal is to create smart computer systems and increase the chance of success.

The goal of ML enables the machines to learn from data and increase the accurate output.

AI works like a computer program

It’s a basic concept of a computer that is taking data and learning from it.

It is the goal to mimic natural intelligence to clear complex problems.

It is a goal to learn from data on a particular task and to maximize the appearance of the machine.

AI is a decision building.

ML enables the system to learn new information from data.

AI deals with structured, semi-structured and unstructured data.

ML deals with structured and semi-structured data.

AI has a wide range scope

ML has a limited scope.

Machine Learning and Deep Learning is the subset of AI

Deep Learning is the subset of AI

Conclusion:

Both Deep Learning and Machine Learning are the two concepts related to Artificial Intelligence. Both are integrated to improve the future of Artificial Intelligence but it’s not a complete Artificial Intelligence. There are various terms in it which one should examine how to make AI better than the human brain. Artificial Intelligence is known as human intelligence done by machine. Join Artificial Intelligence Training in Chennai at FITA and learn more about the concepts of AI and its application under working professionals. They will also explain in detail the differences between AI, ML and Deep Learning concepts.